Sort by
Refine Your Search
-
Category
-
Field
-
practical ways. Use data analytics packages (e.g. Python) and online collaboration platform (e.g. Github) to process, visualize, and model data generated from energy simulations, lab testing or real building
-
interdisciplinary methods and tools appropriate to the topic at hand, including primary data, economic, and statistical analyses; modeling; and survey and interview-based research. The Energy/Environmental Policy
-
research on topics related to machine learning, data analytics, and thermal resilience modeling. You will also support maintenance of building energy software tools such as OpenStudio measures, CBES, and
-
methods/models to collect environmental samples from different media (air, surfaces, dust, materials). Develop methods and optimize data collection and analysis using analytical methods such as gas
-
on the Better Climate Challenge, you may also support primary and secondary research on building data analytics tools and advanced controls. What You Will Do: Support the development of technical reports